Ron Kohavi and Foster Provost, Glossary of Terms.
Editorial for the Special Issue on Applications of Machine Learning and
the Knowledge Discovery Process (volume 30, Number 2/3, February/March
1998). Postscript
or HTML

Ron Kohavi and Foster Provost, On Applied Research in
Machine Learning. Editorial for the Special Issue on Applications of
Machine Learning and the Knowledge Discovery Process (volume 30, Number
2/3, February/March 1998). Postscript

Ron Kohavi, Dan Sommerfield, and James Dougherty,
Data Mining using MLC++, a Machine Learning Library in C++.
International Journal of Artificial Intelligence Tools, Vol. 6, No. 4,
1997, p. 537-566. This is a longer version of the TAI'96 paper that
received the IEEE Tools With Artificial Intelligence Best Paper Award. compressed
postscript (283K) or acrobat (PDF)

Cliff Brunk, James Kelly, and Ron Kohavi, MineSet:
An Integrated System for Data Mining. Appears in the The Third
International Conference on Knowledge Discovery and Data Mining, 1997. compressed
postscript (276K).

Ron Kohavi, Book Review: Empirical Methods in
Artificial Intelligence by Paul Cohen. International Journal of Neural
Systems (IJNS), Vol 7, No 2, May 1996, p. 219-221. postscript.
(50K) Note: final formatting in the journal was slightly different

George John, Ron Kohavi, and Karl Pfleger, Irrelevant
features and the subset selection problem. In Machine Learning:
Proceedings
of the Eleventh International Conference, 1994. Morgan Kaufmann. postscript (224K)
or slides.

Ron Kohavi, Bottom-up induction of oblivious,
read-once decision graphs. In Proceedings of the European
Conference on Machine Learning, 1994. postscript
version (211K).